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Data Science Jobs (NOW HIRING)

Data Science

San Francisco, CA · On-site

$90 - $120/hr

Supported by Augmented & Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons. With our consultants ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps. It is about leading teams that build intelligent systems enabling researchers, clinicians ...

Scientist, Data Science

Waltham, MA · On-site

$91K - $136K/yr

The successful candidate will leverage their data science expertise in mining large datasets to drive our efforts in target identification, mechanism of action (MOA) studies, and biomarker strategy ...

The AI Product's Data Science org is at the center of the next generation of products at Figma, spanning Make, Figma Agent, Design Systems, and other areas. Data is critical to setting strategy and ...

Data Science Expert

$120 - $170/hr

We are seeking experienced Data Science Experts to help evaluate how effectively AI performs real-world data science tasks. Rather than building models or delivering business analyses yourself, you ...

You will lead a team of data scientists building the intelligence layer across the full advertising marketplace: * (a) Supply-side algorithms -- search, relevance, ranking, real-time bidding, bid ...

You will lead a team of data scientists building the intelligence layer across the full advertising marketplace: * (a) Supply-side algorithms - search, relevance, ranking, real-time bidding, bid ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Position Responsibilities AsDirector, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused ontechnical and thought leadership, people ...

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Position Responsibilities As Director, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused on technical and thought leadership, people ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

AsDirector, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused ontechnical and thought leadership, people developmentandoperational process ...

Showing results 21-40

Data Science information

See salary details

$37.5K

$122.7K

$196.5K

How much do data science jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What cities are hiring for Data Science jobs?

Cities with the most Data Science job openings:

What are the most commonly searched types of Data Science jobs?

The most popular types of Data Science jobs are:

What states have the most Data Science jobs?

States with the most job openings for Data Science jobs include:

Infographic showing various Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Science

Sia Partners'

San Francisco, CA • On-site

$90 - $120/hr

Other

Medical, Life

Posted 11 days ago


Job description

Graduate Opportunity - Consultant in GenIA (Located in San Francisco Office)

Sia is a specialist Management Consulting firm which was initially established in Paris, France in 1999 and has grown into a global firm with over 3,000 employees and annual revenue exceeding $500m. Our culture is strongly orientated towards high-quality expertise and delivering excellent results and outcomes for our clients, which include a wide range of multinational companies. Testament to its success, Sia has shown double-digit growth every year since inception.

Sia is a pioneer of Consulting 4.0, putting us at the forefront of the technology revolution, deploying augmented Consultants capable of leveraging emerging digital technology to enhance and improve their cognitive reasoning, analysis and planning. Supported by Augmented & Artificial Intelligence, Automation and Data Science we empower our clients to make the right decisions at the right time for the right reasons.

With our consultants representing 41 different nationalities, we are a highly diverse team spread across 48 offices in 19countries. However, using innovative technologies such as our own in-house apps, social networks, and digital tools, we provide a truly integrated global service.

Sia is an equal opportunities employer, committed to diversity, inclusion and employee well-being. Our diversity and inclusion networks (local and global) contribute to a pipeline of initiatives to enhance employee quality of life and foster a caring environment to work in.

Employees are encouraged to contribute to these initiatives and drive positive change in the organisation across 5 pillars:Women@Sia, LGBTQ+, Multi-Ethnic, Well-being and Environment.

As part of the expansion of its activities, Sia is hiring a GenAI Consultant for its San Francisco office.

Reporting to the AI & Data Business Unit, you will design and implement cutting-edge GenAI/LLM solutions across various industries. You will play a key role in bridging the gap between Data Scientists, Machine Learning Engineers, and Platform Engineers to deliver tangible business value through AI. You will guide clients toward the best approaches—such as Retrieval-Augmented Generation (RAG), agents, or fine-tuning—for optimized and cost-effective impact.

Beyond prompt creation, you will be responsible for designing and developing robust, scalable products. You will be involved throughout the entire AI lifecycle, ensuring seamless model integration optimized for performance and security, while addressing infrastructure challenges. Your role includes research, design, implementation, and optimization of AI systems.

You have strong expertise in both:

Model stack (FM, VLM, SLM): leveraging open or proprietary foundational models such as GPT-x, Claude, or Gemini, as well as lightweight models deployable at the edge like Mistral or Arcee AI, to deliver cost-effective solutions to business users.

The GenAI application framework ecosystem: including chaining, retrieval-augmented generation, autonomous agents, and vector search tools (e.g., LangChain, LlamaIndex, pgvector).

Qualifications

You hold a degree from a top-tier engineering school, and we are looking for:

1–2 years of experience in a similar role.

Strong proficiency in Python and generative AI frameworks such as LangChain or LlamaIndex.

Knowledge of natural language processing and understanding (NLP/NLU).

Expertise in embedding vectorization and semantic search techniques.

Excellent communication skills, capable of explaining complex technical concepts to both technical and non-technical stakeholders.

Strong problem-solving abilities.

You can expect…
  • A supportive atmosphere, where innovation and initiative are encouraged.
  • A commitment to diversity, inclusion and employee well-being.
  • Opportunities to flex your intellectual and creative muscles.
  • Welcoming, friendly and professional colleagues.
  • A personal development plan with clear goals for advancement.
  • A meritocratic approach to promotion that rewards those who exceed expectations.
  • A competitive salary, in line with the market and your peers.
  • Flexible working arrangements.
  • A performance-related bonus.
  • Health and Life insurance.
  • 27 days holiday per year, plus Bank Holidays

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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